Event Details
Optimal Resource Allocation in Cellular Networks with H2H/M2M Coexistence
Presenter: Nedaa Alhussien
Supervisor:
Date: Fri, November 5, 2021
Time: 10:30:00 - 11:30:00
Place: ZOOM - Please see below.
ABSTRACT
Zoom meeting link: https://uvic.zoom.us/j/82572560232?pwd=ZnJudWVIYnFoSit3VHpXRnh0NG5OQT09
Meeting ID: 825 7256 0232
Password: 627085
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Abstract:
Machine-to-Machine (M2M) communications play a key role in the evolution of the Internet of Things (IoT). Cellular networks are one of the main technologies to support the deployment of M2M communications. However, the characteristics and Quality-of-Service (QoS) requirements of M2M traffic are different from those of conventional Human-to-Human (H2H) traffic, which makes radio resource allocation a complex task. In this work, a two-phase optimal resource allocation algorithm is proposed for H2H/M2M coexistence. The first phase performs joint power-resource allocation in order to satisfy the QoS requirements of H2H traffic while considering the delay constraints of delay-sensitive M2M traffic. Then, the second phase focuses on meeting the QoS requirements of M2M traffic, both delay-sensitive and delay-tolerant. Simulation results show that the proposed algorithm is able to balance the demands of M2M and H2H traffic, meet their diverse QoS requirements, and ensure fairness for delay-tolerant M2M traffic.